Regular Article: Sparse Interpolation of Symmetric Polynomials
Advances in Applied Mathematics
Random Structures & Algorithms
A polynomiality property for Littlewood-Richardson coefficients
Journal of Combinatorial Theory Series A
Geometric approaches to computing kostka numbers and littlewood-richardson coefficients
Geometric approaches to computing kostka numbers and littlewood-richardson coefficients
Combinatorics and geometry of Littlewood-Richardson cones
European Journal of Combinatorics - Special issue on combinatorics and representation theory
Reductions of Young Tableau Bijections
SIAM Journal on Discrete Mathematics
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Kostka numbers and Littlewood-Richardson coefficients appear in combinatorics and representation theory. Interest in their computation stems from the fact that they are present in quantum mechanical computations since Wigner [15]. In recent times, there have been a number of algorithms proposed to perform this task [1---3, 11, 12]. The issue of their computational complexity has received at-tention in the past, and was raised recently by E. Rassart in [11]. We prove that the problem of computing either quantity is #P-complete. Thus, unless P = NP, which is widely disbelieved, there do not exist efficient algorithms that compute these numbers.